Graduate STEM Developer
Data Intellect3 days ago
Hong Kong, Hong KongEntry Level
Responsibilities
- Complete guided learning, hands-on work experience, and career guidance during the graduate training program.
- Develop expertise in Q programming and the kdb+ time-series database.
- Build, capture, store, analyze, and visualize large volumes of financial data.
- Collaborate with investment banks and hedge funds in major international financial hubs after training.
- Participate in the application process, including a problem-solving assessment and technical discussion with a Senior Engineer.
Requirements
- Bachelor’s degree in a STEM-related field with a minimum 3.5 GPA.
- No prior professional experience is required.
- Coding experience is beneficial but not essential.
- Strong written and verbal communication skills.
- Problem-solving ability, willingness to learn, teamwork, attention to detail, and a can-do attitude.
- Willingness to travel to the Belfast headquarters for approximately 6–8 weeks of in-person training.
Benefits
- Three-month graduate training program with guided learning, hands-on experience, and personalized career guidance.
- Starting salary that increases after passing probation; no specific amount is stated.
- Pension and healthcare benefits.
- Flexible holiday allowance.
- Continuous learning opportunities and social events.
- Travel costs and accommodation during the Belfast training period are covered by the company.
- Potential international work with clients in London, New York, Hong Kong, Singapore, and Toronto.
Categories
BackendData Engineering
About Data Intellect
Data Intellect is a Belfast‑headquartered, privately held data and technology consultancy focused on capital markets. It designs, builds, and manages high‑performance systems for trading, risk, market data, surveillance, and analytics, with deep expertise in kdb+, time‑series engineering, and data platforms. The company operates globally, with teams serving clients in major financial hubs including London, New York, Hong Kong, Singapore, and Toronto.